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Predicting Quality of Life and GPA among Postsecondary Students with Psychiatric Disabilities

Title: Predicting Quality of Life and GPA among Postsecondary Students with Psychiatric Disabilities.
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Name(s): Haemmelmann, Katie L. (Katie Lynne), author
Ebener, Deborah J, professor directing dissertation
Burdette, Amy M., 1976-, university representative
Canto, Angela I., committee member
Osborn, Debra S., committee member
Florida State University, degree granting institution
College of Education, degree granting college
Department of Educational Psychology and Learning Systems, degree granting department
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2016
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource (167 pages)
Language(s): English
Abstract/Description: Tens of thousands of students with psychiatric disabilities are enrolled in postsecondary education (Souma, Rickerson, & Burgstahler, 2012) and approximately one in five postsecondary students experience a mental illness (Substance Abuse and Mental Health Services Administration [SAMHSA], 2013); yet the field of psychology and rehabilitation psychology does not have a comprehensive understanding of what factors may influence outcomes. This study examined postsecondary students with psychiatric disabilities and potential predictors of quality of life (QOL) and academic achievement. This study’s aim was to determine whether person, disability, and environmental variables, as set forth by the psychosocial model of Vash and Crewe (2004) would predict the QOL and academic achievement of postsecondary students with psychiatric disabilities. Additionally, this study assessed gender differences on specific variables within the context of Vash and Crewe’s (2004) framework. QOL was measured using the WHOQOL-BREF (WHO, 1996), coping was measured using the Coping Strategies Inventory - Short Form (CSI-S; Tobin, 1995), and symptom severity was measured using the Sheehan Disability Scale (SDS; Sheehan, 1983). Further information was collected for variable usage within the demographic question. This included: academic achievement (grade-point average), services utilized at their disability service center, and enrollment status (full-time versus part-time). A linear regression was used to determine if person, disability, and/or environmental variables would predict the QOL and academic achievement. Coping and symptom severity were identified as significant predictors of QOL across all four domains. The number of services utilized was identified as a significant predictor within the domains Physical and Social for QOL. No other predictors were identified for QOL, furthermore, this study did not identify predictors of academic achievement. Next, a MANOVA was conducted to assess for gender differences across QOL, academic achievement, and coping. No significant findings were revealed. Possible explanations for both significant and non-significant findings are discussed in detail.
Identifier: FSU_FA2016_Haemmelmann_fsu_0071E_13562 (IID)
Submitted Note: A Dissertation submitted to the Department of Educational Psychology and Learning Systems in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
Degree Awarded: Fall Semester 2016.
Date of Defense: November 10, 2016.
Keywords: academic achievement, college students, postsecondary students, psychiatric disabilities, quality of life
Bibliography Note: Includes bibliographical references.
Advisory Committee: Deborah J. Ebener, Professor Directing Dissertation; Amy Burdette, University Representative; Angel Canto, Committee Member; Deborah Osborn, Committee Member.
Subject(s): Psychology
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_FA2016_Haemmelmann_fsu_0071E_13562
Owner Institution: FSU

Choose the citation style.
Haemmelmann, K. L. (K. L. ). (2016). Predicting Quality of Life and GPA among Postsecondary Students with Psychiatric Disabilities. Retrieved from http://purl.flvc.org/fsu/fd/FSU_FA2016_Haemmelmann_fsu_0071E_13562